Title :
3D Face Recognition Using Affine Integral Invariants
Author :
Feng, S. ; Krim, H. ; Gu, I. ; Viberg, M.
Author_Institution :
Dept. of ECE, NCSU
Abstract :
A new 3D face representation and recognition approach is presented in this paper. Two sets of facial curves are extracted from a face range image, and a novel facial feature representation, the affine integral invariant, is introduced to mitigate the effect of pose on the facial curves. A human face is shown to be representable by a small subset of those affine integral invariant curves. A recognition procedure based on the discriminant analysis and Jensen-Shannon divergence analysis is proposed. Substantiating examples are provided with an achieved classification accuracy of 92.57%
Keywords :
face recognition; feature extraction; image representation; 3D face recognition; 3D face representation; Jensen-Shannon divergence analysis; affine integral invariants; discriminant analysis; feature representation; Clouds; Data mining; Face recognition; Facial features; Feature extraction; Humans; Image databases; Robustness; Spatial databases; Testing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1660311